Our platform stores and analyzes X (Twitter) data to provide you with valuable insights on the latest trends and help you stay up-to-date with the audience. Discover what's currently trending, track trend history(30 days), and explore popular hashtags and topics over the long term.
Here are the current top X (Twitter) trending topics Nantes, as of 43 minutes ago.
| Rank | Trending Topic / Hashtag | Tweet Volume | Copy |
|---|---|---|---|
| 1 | Noël
286.6k
|
286.6k | Copy |
| 2 | Allemagne
120.3k
|
120.3k | Copy |
| 3 | Mayotte
106.5k
|
106.5k | Copy |
| 4 | #Unibet24
below 10k
|
below 10k | Copy |
| 5 | #FinalFantasy
below 10k
|
below 10k | Copy |
| 6 | #KSW101
below 10k
|
below 10k | Copy |
| 7 | Mamadou
37.2k
|
37.2k | Copy |
| 8 | Saoudien
31.8k
|
31.8k | Copy |
| 9 | Le Monde
120.3k
|
120.3k | Copy |
| 10 | #masksinger
below 10k
|
below 10k | Copy |
| 11 | Casque
below 10k
|
below 10k | Copy |
| 12 | Europe
395.1k
|
395.1k | Copy |
| 13 | Griezmann
below 10k
|
below 10k | Copy |
| 14 | Maignan
below 10k
|
below 10k | Copy |
| 15 | Superman
304.9k
|
304.9k | Copy |
| 16 | Taqiya
below 10k
|
below 10k | Copy |
| 17 | Arabie Saoudite
13.3k
|
13.3k | Copy |
| 18 | Mahorais
32.8k
|
32.8k | Copy |
| 19 | Allemands
18.7k
|
18.7k | Copy |
| 20 | Chypre
below 10k
|
below 10k | Copy |
| 21 | L'auteur
16.9k
|
16.9k | Copy |
| 22 | Parnasse
12.6k
|
12.6k | Copy |
| 23 | Ludo
below 10k
|
below 10k | Copy |
| 24 | Germany
886.5k
|
886.5k | Copy |
| 25 | Comores
below 10k
|
below 10k | Copy |
| 26 | Musk
1.8k
|
1.8k | Copy |
| 27 | Varela
14.6k
|
14.6k | Copy |
| 28 | Islamophobe
13.1k
|
13.1k | Copy |
| 29 | Samuel Paty
14.6k
|
14.6k | Copy |
| 30 | Christmas
2.2k
|
2.2k | Copy |
| 31 | MEDION
below 10k
|
below 10k | Copy |
| 32 | IKEA
below 10k
|
below 10k | Copy |
| 33 | Macron
173.9k
|
173.9k | Copy |
| 34 | Jour 21
below 10k
|
below 10k | Copy |
| 35 | Coupe de France
below 10k
|
below 10k | Copy |
| 36 | Israël
669.6k
|
669.6k | Copy |
| 37 | L'extrême
43.1k
|
43.1k | Copy |
| 38 | Raté
178k
|
178k | Copy |
| 39 | Jean-Pierre Papin
below 10k
|
below 10k | Copy |
| 40 | Caron
below 10k
|
below 10k | Copy |
| 41 | Kazan
24.4k
|
24.4k | Copy |
| 42 | Jean Messiha
below 10k
|
below 10k | Copy |
| 43 | laurent ournac
below 10k
|
below 10k | Copy |
| 44 | Snyder
33.8k
|
33.8k | Copy |
| 45 | Beaucaire
below 10k
|
below 10k | Copy |
| 46 | Gisèle Pelicot
84.6k
|
84.6k | Copy |
| 47 | Merkel
68k
|
68k | Copy |
| 48 | FC Martigues
below 10k
|
below 10k | Copy |
| 49 | Shanks
below 10k
|
below 10k | Copy |
| Note: Trends refreshes every Hour . to view the Hourly trending Trends for last 24 hour click of Expand view button below | |||
Get real-time updates on the hottest trending hashtags and topics on X (Twitter) Nantes with our automated page. Our page utilizes the official X (Twitter) API to refresh the most talked-about hashtags and topics every 30 minutes, ensuring you always have access to the most current trends on the platform.
These trending hashtags and topics are also popular on other social media platforms like Instagram, YouTube, and Facebook. Bookmark our page to stay updated on what's trending on X (Twitter) Nantes .
X (Twitter) uses a combination of factors to determine the most popular and relevant trending topics on the platform. These include the number of tweets, the number of users tweeting about a topic, and the level of engagement on tweets related to the topic. The platform's algorithms also consider the user's location and language to display trends that are relevant to their specific region and language.
Trending topics on X (Twitter) are not influenced by personal opinions or paid promotions, but rather reflect the interests and conversations of the X (Twitter) community as a whole. The platform's algorithms are designed to identify topics that are popular among a wide range of users, rather than just a small group. Any attempts to artificially manipulate trending topics are strictly prohibited by Twitter's policies.
X (Twitter) 's trending algorithm is designed to identify significant increases in the popularity of a specific topic or hashtag, compared to its usual level of activity. To do this, the algorithm takes into account both the volume of tweets about the topic (the number of tweets) and the time it takes to generate that volume of tweets. Time is a critical factor in determining trends, as a topic that gradually builds in popularity over the course of a month may generate a large number of tweets after 30 days, but may not have experienced a sudden spike in activity that would qualify it as a trend. By considering both volume and time, X (Twitter) 's trending algorithm is able to identify trends that are both popular and relevant to the current conversation on the platform.